Smartronix is actively seeking a Data Scientist who is forward-thinking, passionate, who has an insatiable curiosity, a dedication to quality, and a desire to be part of a rapidly changing organization supporting cutting edge technology in the intel community. This is an opportunity to become part of a growing team supporting a large modernization effort for one of our government clients. We will be building high-performing, scalable, enterprise-grade applications with an emphasis on data visualization and data analytics. Work on this effort is anticipated to commence in late August 2019 in the National Capital Region with all positions requiring an active Top Secret/SCI clearance.

As a key member of our core team, you will have an exciting and challenging opportunity to work with emerging technology and a large collection of data sources and engage in a leadership role with a large team of highly skilled professionals including other data scientists. The ideal candidate will be a key advisor and leader for one of our elite Intel customers to find new ways to discover, understand, and visualize information. This position entails coordinating with a team of systems engineers and developers and leading a team of data scientists and analysts to build high-performing, scalable, enterprise-grade applications. As a Senior Data Scientist, the candidate will be expected to be able to support application development, be able to develop analytic algorithms and products in Python/Django or alternative language while providing expertise to other team members that they directly or indirectly lead. Some form of experience in the full software development lifecycle, from concept and design to testing and deployment is strongly desired. The candidate must be able to collaborate directly with customers to ensure products meet and exceed operational requirements. The successful candidate will be a self-starter that demonstrates excellent communication and problem-solving skills.

Responsibilities Include:

Lead research and analysis of data and development of analytic approaches, processes, and in some cases finished intelligence products.

Responsible for quality control of data ingest streams and processes to check for anomalies in support of QA/QC activities; coordinate with data and systems engineers to remediate issues.

Validate the accuracy of big data systems both upstream (ETL) and downstream (consumption) using sampling and vetting techniques.

Participate as a leader in the collection of data requirements and analytic needs with collection teams and developers.
Lead and mentor others in scripting in support of analysis and QA/QC, performing coding/scripting as required to support the customer.